14 citations · 29 across the 10 of their papers we have counts for
6 papers · 1 filter
Spline-Based Boundary Representations for Sparse View Reconstruction and Simulation Using Isogeometric Analysis
Davor Dobrota, Vsevolod Skorokhodov, Chenghao Xu +2
Image-based reconstruction aims to recover three-dimensional geometry from images. Recent advances have enabled the recovery of visually detailed models, yet their representations…
Thermoxels: a voxel-based method to generate simulation-ready 3D thermal models
Etienne Chassaing, Florent Forest, Olga Fink +1
In the European Union, buildings account for 42% of energy use and 35% of greenhouse gas emissions. Since most existing buildings will still be in use by 2050, retrofitting is cruc…
Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics
Chenghao Xu, Malcolm Mielle, Antoine Laborde +3
Achieving the EU's climate neutrality goal requires retrofitting existing buildings to reduce energy use and emissions. A critical step in this process is the precise assessment of…
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
Yan Hao, Florent Forest, Olga Fink
This paper focuses on source-free domain adaptation for object detection in computer vision. This task is challenging and of great practical interest, due to the cost of obtaining…
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection
Punnawat Siripathitti, Florent Forest, Olga Fink
Damage to road pavement can develop into cracks, potholes, spallings, and other issues posing significant challenges to the integrity, safety, and durability of the road structure.…
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
Florent Forest, Hugo Porta, Devis Tuia +1
Monitoring surface cracks in infrastructure is crucial for structural health monitoring. Automatic visual inspection offers an effective solution, especially in hard-to-reach areas…